![]() I don't know for a fact that SQL importance is surging, as the TIOBE index implied from my first reading. The marketing term NoSQL, which was the hippest buzzword just a few years back, is slowly becoming a synonym for a defect." They tweeted this from their latest AWS re:Invent conference: SQL on the relational schema is orders of magnitude faster than JSON processing. Moreover Amazon is not afraid to point out a few advantages when it comes to using SQL and the relational model. Why you should pick strong consistency, whenever possible. This time a new article by Google further forwards an argument that Google initiated years ago: in the original Spanner paper (2012) Google said that strong consistency-like that offered by SQL databases-causes fewer problems than the eventual consistency model that is often employed by NoSQL systems. ![]() Google’s shift towards SQL was already mentioned in my previous newsletter. Perhaps an SQL datapoint from today's Reddit programming news: See this discussion about Google's TensorFlow language evaluation: Towards what is probably still being worked out.Īre 20 languages viable? Don't see why not. The shift away from MS/desktop dominance should be good for language diversity, since that means a shift away from MS's languages (C#, VB.NET, C++). See the differences yourself, particularly as you get up in the multi-core range: (Source: )Īlthough Amazon is agnostic about what you run on your AWS instances, pricing considerations mean that in practice people tend to run Linux. AWS represents more than 3 times the cloud business of the next 3 competitors (MS, IBM, Google). ![]() I would suggest it has more to do with the decline in desktop app development (Windows) and the shift to cloud-based development (Linux, AWS).
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